Malware family classification method and system based on RGB image and Stacking multi-model fusion, and medium
An RGB image, malware technology, applied in the direction of nuclear methods, character and pattern recognition, computer components, etc., can solve problems such as the impact of correlation classification results, the lack of consideration of API and API correlation, the increase in the number of malware variants, etc. , to achieve the effect of rapid classification, improved accuracy, and accurate prediction results
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[0074] The present invention proposes a malware family based on RGB image and stacking multi-model fusion based on known malware families. Classification scheme.
[0075] The main idea of the present invention is to use a dynamic analysis method to extract the API call sequence of malware, first configure the API call sequence chain, further configure the API call relationship to the diagram, and draw according to the improved iterative scale algorithm in the maximum entropy model The API call relationship pair the weight vector, according to the API call relationship pair and the weight vector constructs the RGB image set, and finally use the STACKING model fusion method to conduct training and predictions of malware families.
[0076] The following two techniques are used as follows: First, the correlation between the API can improve the accuracy of the malware classification. Second, convert to the RGB image, convert the malware family classification problem into an image cla...
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